execute()Įxecutes FFmpeg using specified options and files. An arbitrary number of output files can be specified by calling this method multiple times. An arbitrary number of input files can be specified by calling this method multiple times. Specifies a global option -key or -key value input(url, options=None, **kwargs) executable: the path to the ffmpeg executable.execute ()) API FFmpeg init(executable='ffmpeg') on ( 'error' ) def on_error ( code ): print ( 'Error:', code ) asyncio. on ( 'terminated' ) def on_terminated (): print ( 'Terminated' ). on ( 'completed' ) def on_completed (): print ( 'Completed' ). on ( 'progress' ) def time_to_terminate ( progress ): # Gracefully terminate when more than 200 frames are processed if progress. on ( 'progress' ) def on_progress ( progress ): print ( progress ). on ( 'stderr' ) def on_stderr ( line ): print ( 'stderr:', line ). on ( 'start' ) def on_start ( arguments ): print ( 'Arguments:', arguments ). output ( 'output.ts', # Use a dictionary when an option name contains special characters, f = 'mpegts', ). input ( 'rtsp:///cam', # Specify file options using kwargs rtsp_transport = 'tcp', rtsp_flags = 'prefer_tcp', ). Usage import asyncio from ffmpeg import FFmpeg ffmpeg = FFmpeg (). Beneficial for both, if you're new to programming with Python language or already a pro at it.A python interface for FFmpeg using asyncio Requirements 'Built with simplicity in mind, VidGear lets programmers and software developers to easily integrate and perform Complex Video-Processing Tasks in their existing or newer applications without going through hefty documentation and in just a few lines of code. 'Write Less and Accomplish More' - VidGear's Motto 'VidGear can read, write, process, send & receive video files/frames/streams from/to various devices in real-time, and faster than underline libraries.' What is its purpose?

'VidGear is a High-Performance Framework that provides an one-stop Video-Processing solution for building complex real-time media applications in python.' What does it do?

The following functional block diagram clearly depicts the generalized functioning of VidGear APIs: VidGear primarily focuses on simplicity, and thereby lets programmers and software developers to easily integrate and perform Complex Video Processing Tasks, in just a few lines of code. VidGear is a High-Performance Video Processing Python Library that provides an easy-to-use, highly extensible, thoroughly optimised Multi-Threaded + Asyncio Framework on top of many state-of-the-art specialized libraries like OpenCV, FFmpeg, ZeroMQ, picamera, starlette, streamlink, pafy, pyscreenshot, aiortc and python-mss serving at its backend, and enable us to flexibly exploit their internal parameters and methods, while silently delivering robust error-handling and real-time performance fire

Python ffmpeg library